Evaluation of Semi-Automatic Acquisition of Semantic Descriptions of Web Services
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چکیده
This paper introduces and evaluates a novel Web service interface annotation and matching scheme designed for processing large sets of Web service interface descriptions. The matching scheme relies on a set of rules, which exploit the structural relationships encoded in an automatically learned ontology to discover matching interface elements. The proposed scheme is evaluated on a Web services interface corpus consisting of WSDL descriptions. The experimental results show that the proposed matching scheme can be used for bootstrapping large-scale Web service interface annotation. Keywords-Web service annotation; schema matching; XSD; WSDL
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تاریخ انتشار 2011